FinanceDelivered
Financial statements
Machine learning produces most of the financial statements. In use for years after delivery.
Optimization & Automation
Optimization and automation of regulated and complex processes.
We reduce the time spent on a process by 70–90 %, with the documentation and controls that regulated work requires.
What it takes
Automating a regulated process is demanding work.
It requires an understanding of the process, the regulation behind it, and the technology available. Each step needs a method that can be validated, and the right method differs from step to step.
The regulated process
Requirements, guidelines and SOPs, and how the work is actually done by the people who own it.
The technology landscape
Rules and code for facts, GenAI for language, and a hosting and data setup that meets the client's requirements.
Validation
Designed for the expert who signs off, with a clear trail from each result back to its source.
Approach
We start with the process, then choose the technology.
01
Map the process
We sit with the people who run the process today and find the steps where the time goes.
02
Automate the heavy parts
Code handles the facts and GenAI handles the language. Each step is validated with the technology that fits it.
03
Make validation transparent
Expert reviewers are guided through the result and see where every number and every sentence comes from, so they can confirm that the validation works.
Every output traceable to its source · your experts approve
Cases
Work in finance, pharma and legal.
About & contact
Ulrik Ledgaard Zeuthen
Owner
Ulrik has led data and AI work in global pharma and finance, from building data functions to scaling AI across a company. He works hands-on with GenAI every day and starts with the business process before the technology.